Physical activity assessment: Biomarkers and self-report of activity-related energy expenditure in the WHI

Marian L. Neuhouser, Chongzhi Di, Lesley F. Tinker, Cynthia Thomson, Barbara Sternfeld, Yasmin Mossavar-Rahmani, Marcia L. Stefanick, Stacy Sims, J. David Curb, Michael Lamonte, Rebecca Seguin, Karen C. Johnson, Ross L. Prentice

Research output: Contribution to journalArticle

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Abstract

We used a biomarker of activity-related energy expenditure (AREE) to assess measurement properties of self-reported physical activity and to determine the usefulness of AREE regression calibration equations in the Women's Health Initiative. Biomarker AREE, calculated as the total energy expenditure from doubly labeled water minus the resting energy expenditure from indirect calorimetry, was assessed in 450 Women's Health Initiative participants (2007-2009). Self-reported AREE was obtained from the Arizona Activity Frequency Questionnaire (AAFQ), the 7-Day Physical Activity Recall (PAR), and the Women's Health Initiative Personal Habits Questionnaire (PHQ). Eighty-eight participants repeated the protocol 6 months later. Reporting error, measured as log(self-report AREE) minus log(biomarker AREE), was regressed on participant characteristics for each instrument. Body mass index was associated with underreporting on the AAFQ and PHQ but overreporting on PAR. Blacks and Hispanics underreported physical activity levels on the AAFQ and PAR, respectively. Underreporting decreased with age for the PAR and PHQ. Regressing logbiomarker AREE on logself-reported AREE revealed that self-report alone explained minimal biomarker variance (R2 = 7.6, 4.8, and 3.4 for AAFQ, PAR, and PHQ, respectively). R2 increased to 25.2, 21.5, and 21.8, respectively, when participant characteristics were included. Six-month repeatability data adjusted for temporal biomarker variation, improving R 2 to 79.4, 67.8, and 68.7 for AAFQ, PAR, and PHQ, respectively. Calibration equations "recover" substantial variation in average AREE and valuably enhance AREE self-assessment.

Original languageEnglish (US)
Pages (from-to)576-585
Number of pages10
JournalAmerican Journal of Epidemiology
Volume177
Issue number6
DOIs
StatePublished - Mar 2013

Fingerprint

Self Report
Energy Metabolism
Biomarkers
Exercise
Habits
Women's Health
Calibration
Surveys and Questionnaires
Indirect Calorimetry
Hispanic Americans
Body Mass Index
Water

Keywords

  • biomakers
  • measurement error
  • physical activity
  • postmenopausal women

ASJC Scopus subject areas

  • Epidemiology

Cite this

Neuhouser, M. L., Di, C., Tinker, L. F., Thomson, C., Sternfeld, B., Mossavar-Rahmani, Y., ... Prentice, R. L. (2013). Physical activity assessment: Biomarkers and self-report of activity-related energy expenditure in the WHI. American Journal of Epidemiology, 177(6), 576-585. https://doi.org/10.1093/aje/kws269

Physical activity assessment : Biomarkers and self-report of activity-related energy expenditure in the WHI. / Neuhouser, Marian L.; Di, Chongzhi; Tinker, Lesley F.; Thomson, Cynthia; Sternfeld, Barbara; Mossavar-Rahmani, Yasmin; Stefanick, Marcia L.; Sims, Stacy; Curb, J. David; Lamonte, Michael; Seguin, Rebecca; Johnson, Karen C.; Prentice, Ross L.

In: American Journal of Epidemiology, Vol. 177, No. 6, 03.2013, p. 576-585.

Research output: Contribution to journalArticle

Neuhouser, ML, Di, C, Tinker, LF, Thomson, C, Sternfeld, B, Mossavar-Rahmani, Y, Stefanick, ML, Sims, S, Curb, JD, Lamonte, M, Seguin, R, Johnson, KC & Prentice, RL 2013, 'Physical activity assessment: Biomarkers and self-report of activity-related energy expenditure in the WHI', American Journal of Epidemiology, vol. 177, no. 6, pp. 576-585. https://doi.org/10.1093/aje/kws269
Neuhouser, Marian L. ; Di, Chongzhi ; Tinker, Lesley F. ; Thomson, Cynthia ; Sternfeld, Barbara ; Mossavar-Rahmani, Yasmin ; Stefanick, Marcia L. ; Sims, Stacy ; Curb, J. David ; Lamonte, Michael ; Seguin, Rebecca ; Johnson, Karen C. ; Prentice, Ross L. / Physical activity assessment : Biomarkers and self-report of activity-related energy expenditure in the WHI. In: American Journal of Epidemiology. 2013 ; Vol. 177, No. 6. pp. 576-585.
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